AI DevOps Engineer

Calance; Los Angeles (CA); Ibrido; USD 140.000 - 190.000; Tempo pieno

Descrizione del lavoro

Calance is seeking an AI DevOps Engineer to design, implement, and manage automated deployment pipelines for AI/ML and agentic AI applications. The role focuses on Azure DevOps CI/CD pipelines across development, testing, staging, and production environments, with hybrid onsite work in Downtown Los Angeles or New York.

The candidate will own the deployment lifecycle, build reusable pipelines, and collaborate with AI/ML teams and infrastructure to ensure smooth, secure deployments on Azure and

Competenze

• Bachelor’s degree in computer science, information systems, engineering or related field.
• At least five years’ experience in DevOps, cloud or platform/infrastructure engineering.
• At least three years’ hands-on experience building and maintaining CI/CD pipelines with Azure DevOps.
• Experience deploying containerized AI/ML and data-intensive apps on Azure and on-premises environments.

Mansioni

• Own the deployment lifecycle: build automation, testing, security validation, containerization, artifacts, release promotion, deployment verification, rollback.
• Develop and maintain Azure DevOps YAML pipelines and reusable components per firm practices.
• Collaborate with AI Software Engineers, ML Engineers, and other teams to align architecture and hosting requirements.
• Partner with infrastructure teams to define environment requirements and provisioning.
• Support deployments across Microsoft Azure and on-prem VMs/VDI environments.
• Protect sensitive, confidential and proprietary information.

Conoscenze

Azure DevOps

CI/CD Principles

Automation pipelines

Security validation

Infrastructure as code

Containerization

Release management

Formazione

Bachelor's degree in CS/IS/Engineering

Strumenti

Azure DevOps

CI/CD tooling

Descrizione del lavoro

Hybrid - onsite 10-12 days a month in Downtown Los Angeles

About the Role

The AI DevOps is an integral part of the Technology & Information Services team. This role will be responsible for designing, implementing, and managing automated deployment pipelines and supporting infrastructure for AI, ML, and agentic AI applications, while designing, building, implementing, and maintaining automated Azure DevOps CI/CD pipelines for AI/ML applications across development, testing, staging, and production environments. This role will be located in either our Global Services Office (Downtown Los Angeles) or New York office. Please note that this role may be eligible for a flexible working schedule that allows for a hybrid and in-office presence.

Responsibilities & Qualifications

Other key responsibilities include:

• Owning the application deployment lifecycle, including build automation, testing, security validation, containerization, artifact management, release promotion, deployment verification, and rollback procedures
• Developing and maintaining Azure DevOps YAML pipelines and reusable pipeline components in accordance with established firm procedures and engineering practices
• Working closely with AI Software Engineers, Machine Learning Engineers, and other development teams to understand application architecture, dependencies, hosting requirements, and operational considerations
• Working with internal infrastructure teams to define infrastructure requirements and support the provisioning and configuration of environments required for AI/ML applications
• Supporting application deployments across Microsoft Azure and on-premises virtual machines or virtual desktop infrastructure environments
• Protecting and maintaining any highly sensitive, confidential, privileged, financial, and/or proprietary information.

We’d love to hear from you if you:

• Demonstrate proficiency with Azure DevOps, including YAML pipelines, build and release automation, service connections, deployment environments, approvals, artifacts, variables, and access controls
• Exhibit strong understanding of CI/CD principles, automated deployment strategies, release management, DevSecOps practices, configuration management, and change-control processes
• Possess the ability to design reusable pipelines that automate application build, test, security validation, packaging, deployment, verification, promotion, and rollback activities

And have:

• A bachelor’s degree in computer science, Information Systems, Engineering or related fields
• A minimum of five (5) years of industry experience in DevOps, cloud engineering, platform and infrastructure engineering, or application deployment
• A minimum of three (3) years of hands-on experience designing, building, and maintaining CI/CD pipelines using Azure DevOps
• Experience deploying and supporting containerized AI/ML, Generative AI, or data-intensive applications across Microsoft Azure and on-premises environments